dc.contributor.author |
Pogostin, Arina |
|
dc.contributor.author |
Calaras, Diana |
|
dc.date.accessioned |
2022-11-09T11:19:30Z |
|
dc.date.available |
2022-11-09T11:19:30Z |
|
dc.date.issued |
2022 |
|
dc.identifier.citation |
POGOSTIN, Arina, CALARAS, Diana. Imaging phenotypes in sarcoidosis: [poster]. In: Conferinţa ştiinţifică anuală "Cercetarea în biomedicină și sănătate: calitate, excelență și performanță", 19-21 octombrie 2022: culegere de postere electronice. 2022, p. 97. |
en_US |
dc.identifier.uri |
https://conferinta.usmf.md/wp-content/uploads/culegere_de_postere_2022.pdf |
|
dc.identifier.uri |
http://repository.usmf.md/handle/20.500.12710/22260 |
|
dc.description.abstract |
Introduction.
Sarcoidosis is a multisystem inflammatory
granulomatous disease of unknown etiology
characterized by an extremely broad spectrum of
imaging patterns that are usually preserved
throughout the course of the disease, which in fact
gives it a particular imaging phenotype.
Aim.
Analysis of imaging phenotypes in pulmonary
sarcoidosis.
Material and methods.
We analyzed 59 patients from Chiril Draganiuc
Institute of Phtisiopneumology, who were evaluated
for pulmonary sarcoidosis, during year 2021.
Among the retrospectively collected data were:
clinical history, functional respiratory tests and
imaging data. HRCT imaging score was assigned to
each patient. The presence of correlations between
imaging scores and functional disorders were
determined. The CT phenotypes showed a better correlation
with all functional parameters, with moderate
correlation scores associated with consolidation
and fibrotic phenotype.
Results.
• mean age of 51±7.9 years
• Typical HRCT pattern – 49%
• Mean HRCT score – 8,6 ±4.9
• 6 main HRCT phenotypes:
- micronodules – 19
- consolidation - 9
- ground glass - 5
- fibrotic phenotype - 4
- interlobular reticulation - 16
- PPFE-like pattern - 6
Conclusions.
Typical patterns are found in about ½ patients.
There is a direct correlation between imaging phenotypes
and functional disorders, with better scores for the CT
phenotype model. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Universitatea de Stat de Medicină şi Farmacie "Nicolae Testemiţanu" din Republica Moldova |
en_US |
dc.relation.ispartof |
Conferinţa ştiinţifică anuală "Cercetarea în biomedicină și sănătate: calitate, excelență și performanță", 2022 |
en_US |
dc.title |
Imaging phenotypes in sarcoidosis |
en_US |
dc.type |
Other |
en_US |